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Why Stratification of Networks Emerges in Innovative Society: Intelligent Poly-Agent Systems Approach

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  • Kyoichi Kijima

    (Tokyo Institute of Technology)

Abstract

This paper rigorously shows in the framework of poly-agent systems theory that it is very natural for an innovative society to emerge stratification of networks to cope with complexity intelligent decision makers of it have to deal with. Before introducing poly-agent systems theory, I will first refer to empirical observations of emergence of stratification of networks in innovative societies, which motivate this research. I, then, theoretically show that coexistence of both networks and hierarchies is reasonable and inevitable for a tightly interrelated society because it can provide the decision makers with mediation, which is beneficial for the decision makers as well as the society as a whole. Finally, I will go back again to implications from our theoretical study.

Suggested Citation

  • Kyoichi Kijima, 2001. "Why Stratification of Networks Emerges in Innovative Society: Intelligent Poly-Agent Systems Approach," Computational and Mathematical Organization Theory, Springer, vol. 7(1), pages 45-62, June.
    • Handle: RePEc:spr:comaot:v:7:y:2001:i:1:d:10.1023_a:1011377532016
    DOI: 10.1023/A:1011377532016
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    References listed on IDEAS

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    1. Howard, Nigel, 1987. "The present and future of metagame analysis," European Journal of Operational Research, Elsevier, vol. 32(1), pages 1-25, October.
    2. John C. Harsanyi, 1967. "Games with Incomplete Information Played by "Bayesian" Players, I-III Part I. The Basic Model," Management Science, INFORMS, vol. 14(3), pages 159-182, November.
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    Cited by:

    1. Mooweon Rhee & Tohyun Kim, 2014. "Identity-based learning and segregation in social networks under different institutional environments," Computational and Mathematical Organization Theory, Springer, vol. 20(4), pages 339-368, December.

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